PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

15 November 2017

Papers citing "PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning"

50 / 734 papers shown

Title
Learning a Low-Rank Feature Representation: Achieving Better Trade-Off between Stability and Plasticity in Continual Learning Zhenrong Liu Yang Li Yi Gong Yik-Chung Wu CLL 26 1 0 14 Dec 2023
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment Paniz Halvachi Alexandra Peste Dan Alistarh Christoph H. Lampert 25 0 0 11 Dec 2023
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning Khanh Doan Quyen Tran Tung Lam Tran Tuan Nguyen Dinh Q. Phung Trung Le DiffM 18 2 0 10 Dec 2023
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment Letian Zhang Ming Li Chong Chen Jie Xu CLL 29 3 0 10 Dec 2023
Continual learning for surface defect segmentation by subnetwork creation and selection Aleksandr Dekhovich Miguel A. Bessa CLL 29 3 0 08 Dec 2023
Wake-Sleep Consolidated Learning Amelia Sorrenti Giovanni Bellitto Federica Proietto Salanitri M. Pennisi S. Palazzo C. Spampinato CLL 41 0 0 06 Dec 2023
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
MIND: Multi-Task Incremental Network Distillation Jacopo Bonato Francesco Pelosin Luigi Sabetta Alessandro Nicolosi CLL 16 7 0 05 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning Soumya Roy Vinay Kumar Verma Deepak Gupta CLL 51 2 0 02 Dec 2023
Towards Redundancy-Free Sub-networks in Continual Learning Cheng Chen Jingkuan Song LianLi Gao Hengtao Shen 25 1 0 01 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning Yiwen Ye Yutong Xie Jianpeng Zhang Ziyang Chen Qi Wu Yong-quan Xia CLL 34 14 0 29 Nov 2023
Class-Adaptive Sampling Policy for Efficient Continual Learning Hossein Rezaei Mohammad Sabokrou 24 0 0 27 Nov 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All Quyen Tran Lam C. Tran Khoat Than Toan M. Tran Dinh Q. Phung Trung Le VLM 37 6 0 26 Nov 2023
Efficient Rehearsal Free Zero Forgetting Continual Learning using Adaptive Weight Modulation Yonatan Sverdlov Shimon Ullman 26 0 0 26 Nov 2023
Task adaption by biologically inspired stochastic comodulation Gauthier Boeshertz Caroline Haimerl Cristina Savin 35 0 0 25 Nov 2023
CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning Yaqi Liu Chao Xia Song Xiao Qingxiao Guan Wenqian Dong Yifan Zhang Neng H. Yu 35 3 0 22 Nov 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges Shilin Zhang Jiahui Wang CLL 32 0 0 22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 32 3 0 21 Nov 2023
BrainWash: A Poisoning Attack to Forget in Continual Learning Ali Abbasi Parsa Nooralinejad Hamed Pirsiavash Soheil Kolouri CLL KELM AAML 34 5 0 20 Nov 2023
Replay-enhanced Continual Reinforcement Learning Tiantian Zhang Kevin Zehua Shen Zichuan Lin Bo Yuan Xueqian Wang Xiu Li Deheng Ye CLL OffRL 46 6 0 20 Nov 2023
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning Doyoung Kim Susik Yoon Dongmin Park Youngjun Lee Hwanjun Song Jihwan Bang Jae-Gil Lee VLM 49 3 0 18 Nov 2023
Online Continual Knowledge Learning for Language Models Yuhao Wu Tongjun Shi Karthick Sharma Chun Seah Shuhao Zhang CLL KELM 30 4 0 16 Nov 2023
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning Joshua Andle Ali Payani Salimeh Yasaei Sekeh CLL 30 2 0 16 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 29 29 0 13 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning Xiaopeng Jiang Marcello Restelli FedML 34 0 0 12 Nov 2023
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks Rouzbeh Meshkinnejad Jie Mei Daniel Lizotte Y. Mohsenzadeh SSL CLL 41 3 0 02 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning Jaya Kalla Soma Biswas CLL 25 5 0 02 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models Xialei Liu Xusheng Cao Haori Lu Jia-Wen Xiao Andrew D. Bagdanov Ming-Ming Cheng VLM 22 12 0 31 Oct 2023
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning Anton Lee Yaqian Zhang Heitor Murilo Gomes Albert Bifet Bernhard Pfahringer CLL 8 2 0 30 Oct 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng CLL MoMe 29 3 0 28 Oct 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model Karsten Roth Lukas Thede Almut Sophia Koepke Oriol Vinyals Olivier J. Hénaff Zeynep Akata AAML 30 12 0 26 Oct 2023
CL-MASR: A Continual Learning Benchmark for Multilingual ASR Luca Della Libera Pooneh Mousavi Salah Zaiem Cem Subakan Mirco Ravanelli AuLLM CLL 48 13 0 25 Oct 2023
Visually Grounded Continual Language Learning with Selective Specialization Kyra Ahrens Lennart Bengtson Jae Hee Lee Stefan Wermter 29 0 0 24 Oct 2023
Continual Named Entity Recognition without Catastrophic Forgetting Duzhen Zhang Wei Cong Jiahua Dong Yahan Yu Xiuyi Chen Yonggang Zhang Zhen Fang 28 10 0 23 Oct 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 29 3 0 17 Oct 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks Zixuan Ke Bing Liu Wenhan Xiong Asli Celikyilmaz Haoran Li CLL 32 5 0 13 Oct 2023
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion Preetha Vijayan Prashant Shivaram Bhat Elahe Arani Bahram Zonooz CLL 32 5 0 12 Oct 2023
Continual Learning via Manifold Expansion Replay Zihao Xu Xuan Tang Yufei Shi Jianfeng Zhang Jian Yang Mingsong Chen Xian Wei KELM CLL 13 4 0 12 Oct 2023
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation Zekang Zhang Guangyu Gao Jianbo Jiao C. Liu Yunchao Wei 48 21 0 10 Oct 2023
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective Yifan Song Peiyi Wang Weimin Xiong Dawei Zhu Tianyu Liu Zhifang Sui Sujian Li CLL 22 3 0 10 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning Yash Garg Nebiyou Yismaw Rakib Hyder Ashley Prater-Bennette M. Salman Asif 31 2 0 09 Oct 2023
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models Zuxin Liu Jesse Zhang Kavosh Asadi Yao Liu Ding Zhao Shoham Sabach Rasool Fakoor ALM AI4CE 23 26 0 09 Oct 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue Yan Wang Zhixuan Chu Xiaoming Shi Caigao Jiang Hongyan Hao Gangwei Jiang Xiaoyun Feng James Y. Zhang Junqing Zhou AI4TS 32 23 0 08 Oct 2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning Martin Schiemer Clemens J. S. Schaefer Jayden Parker Vap Mark Horeni Yu Emma Wang Juan Ye Siddharth Joshi 36 2 0 05 Oct 2023
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis Shunkai Shi Yuqi Wang Qihui Ye Yanran Wang Yiming Zhu Muhammad Hassan Melliou Aikaterini Dongmei Yu 33 1 0 05 Oct 2023
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking Zhizheng Liu Mattia Segu Fisher Yu 29 4 0 04 Oct 2023
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models Yi-Lin Sung Jaehong Yoon Mohit Bansal VLM 23 14 0 04 Oct 2023
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation Naitik Khandelwal Xiao Liu Mengmi Zhang CLL 31 0 0 02 Oct 2023
Elephant Neural Networks: Born to Be a Continual Learner Qingfeng Lan A. R. Mahmood CLL 51 9 0 02 Oct 2023
Towards guarantees for parameter isolation in continual learning Giulia Lanzillotta Sidak Pal Singh Benjamin Grewe Thomas Hofmann 27 0 0 02 Oct 2023